Description
Teaches methods of statistics and how to apply them appropriately. This fifth edition contains revised problems and learning checks, and is divided into sections on descriptive statistics, foundations of inferential statistics, inferential statistics for sample mean differences, and non-parametric statistics. Each section is preceded by a brief synopsis of goals and direction of material to be covered. Includes chapter summaries, problem solving tips, worked examples, and problems. The authors are affiliated with the State University of New York College at Brockport. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Frederick J. Gravetter and Larry B. Wallnau combine an intuitive, easy-to-understand writing style with a wide variety of built-in learning aids and real-world examples. Applications are integrated to ensure that even students with a weak background in mathematics can achieve mastery of basic statistical concepts. Students using the book go beyond thinking of statistics as just a part of a course they have to take, instead coming to appreciate it as a growing field that helps us make sense of data in our world. The authors skillfully demonstrate to students that having an understanding of a variety of statistical procedures will help them understand published findings, as well as become savvy consumers of information.
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